We’re looking to hire an Applications Scientist to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods!

Schrödinger is on the cutting edge of computer-aided drug discovery and materials science. We set the record for the largest and fastest cloud computing run, and our software suites continue to transform the design of therapeutics and materials. FEP+, WaterMap, Glide, Maestro, and LiveDesign are just a few examples of the applications we’ve created.

As a member of our UK Applications Science team, you’ll train and guide customers in their use of our groundbreaking molecular modelling suites, provide strategic scientific support, and address challenging problems in drug discovery.

Who will love this job:

  • A computer-aided molecular design enthusiast (both in theory and application) - specifically, someone with solid experience in structure-based drug design and computational modelling workflows
  • An excellent communicator and presenter with superb organisational skills
  • A dedicated scientist who’s willing to learn and deliver results
  • A creative collaborator who enjoys helping others solve problems
  • A self-motivated team player who takes ownership of projects and manages their own time well

What you’ll do:

  • Provide scientific support to current and prospective customers, which includes demonstration of optimal use of our life science software suites, facilitation of interactions between customers and product development teams, and general scientific guidance
  • Troubleshoot customers’ scientific workflows, administration, and adaptation of their modelling environment
  • Engage in cutting-edge methodological scientific research and advise our customers on best practices for computational modelling
  • Publish scientific papers and present at conferences

What you should have:

  • PhD in computational chemistry, bioinformatics, or a related field
  • A solid understanding of the commercial drug discovery process and of medicinal chemistry
  • Demonstrable Python programming experience
  • Experience with cheminformatics, chemical data structures, databases, and administration of software or applications
  • Excellent English language skills (both verbal and written)
  • Willingness to travel but be located primarily in the UK
  • One of the following is a plus: 
    • Postdoctoral research and/or relevant experience in the commercial sector
    • Expertise in ligand-based drug design, machine learning
    • Expertise in structure-based drug design, molecular dynamics, free energy calculations 
    • French and/or Spanish language skills

What we offer: 

  • A highly motivated international workplace with growth potential
  • Internal mentorship and training
  • Competitive salary and a flexible working environment
  • Annual company shutdown in addition to regular vacation days  
  • Other benefits like our employee volunteer program, an employee equity plan, a donation match program, a dedicated counselling service as well as travel insurance
  • In addition there are social events, team building activities and a reduced Nuffield Health gym membership
As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, or sexual orientation. To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.
 
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